Datamining, also referred to as databasemining or knowledge discovery in databases ( KDD), is a new research area that aims at the discovery of useful information from large datasets. One of the most interesting and important research problems is discovering of different types of rules (e.g. association, characteristic, discriminant, etc.) from data.
In this work we propose the new SQL-like language for datamining in relational databases, called Mine SQL, developed within the scope of the data mining research project led in Poznan University of Technology. MineSQL is the extension of industry standard SQL language developed for expressing rule queries and assisting a user in rule generation, storage and retrieval. We focus on the main features of the language, its syntax and semantics, illustrated by practical examples.